Critical review of offshore wind turbine energy production and site potential assessment

Abstract One of the most important technical problems among the different challenges of offshore wind farms is to obtain a suitable turbine model for a particular site. Designers of offshore plants can take into account several aspects, such as wind class of the selected site, environment requirements, height restrictions, turbines price, power capacity, energy production and wake effect/electrical losses. This paper clarifies the concept of power density applied to offshore turbines and shows the correlation between the power density and the selection of the site. Different commercial offshore turbines are analyzed for three different class wind sites. Recently commissioned offshore wind farms and offshore wind turbines are included in the study. The results show greater energy production for low power density turbines and this parameter is more reliable than the capacity factor to select the turbines that match with the site.

[1]  Maryam Soleimanzadeh,et al.  A Multi-Objective Optimization Framework for Offshore Wind Farm Layouts and Electric Infrastructures , 2016 .

[2]  Xin-gang Zhao,et al.  Focus on the development of offshore wind power in China: Has the golden period come? , 2015 .

[3]  Pavol Bauer,et al.  Trends of offshore wind projects , 2015 .

[4]  Duc Luong Nguyen.  A Brief Overview on Assessments of Wind Energy Resource Potential inVietnam , 2014 .

[5]  Inmaculada Zamora,et al.  Technological trends in electric topologies for offshore wind power plants , 2013 .

[6]  Zhiqiu Gao,et al.  Lessons learnt from the evaluation of the feed-in tariff scheme for offshore wind farms in Greece using a Monte Carlo approach , 2016 .

[7]  Gunwoo Kim,et al.  Assessment of offshore wind energy at Younggwang in Korea , 2013 .

[8]  Victor Parada,et al.  Wind farm layout optimization using a Gaussian-based wake model , 2017 .

[9]  Jianbo Yang,et al.  Overview of Wind Power in China: Status and Future , 2017 .

[10]  Angel G. Gonzalez-Rodriguez,et al.  Review of offshore wind farm cost components , 2017 .

[11]  Anastasia Ioannou,et al.  Stochastic prediction of offshore wind farm LCOE through an integrated cost model , 2017 .

[12]  Gregor Giebel,et al.  An Overview of Offshore Wind Farm Design , 2016 .

[13]  Matthew A. Lackner,et al.  Probability distributions for offshore wind speeds , 2009 .

[14]  Lars Johanning,et al.  Application of an offshore wind farm layout optimization methodology at Middelgrunden wind farm , 2017 .

[15]  José Luis Martín,et al.  Current facts about offshore wind farms , 2012 .

[16]  James Carroll,et al.  Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines , 2016 .

[17]  Javier Serrano González,et al.  Optimal wind-turbine micro-siting of offshore wind farms: A grid-like layout approach , 2017 .

[18]  M. Sathyajith,et al.  Advances in Wind Energy Conversion Technology , 2011 .

[19]  James Carroll,et al.  Drivetrain availability in offshore wind turbines , 2014 .

[20]  Jun Liang,et al.  Assessment of collection systems for HVDC connected offshore wind farms , 2015 .

[21]  Zhang Da,et al.  Kickoff of Offshore Wind Power in China: Playoffs for China Wind Power Development , 2012 .

[22]  V. G. Rau,et al.  Site matching of wind turbine generators: a case study , 1999 .